Dynamic multi-period mixed-integer non-linear programming model for equipment selection in the mining industry
Planning an equipment fleet is a complex engineering challenge involving (1) the capacity selection of equipment pieces forming a fleet, (2) the determination of fleet size, (3) strategic timing of equipment acquisitions, and (4) ensuring compatibility between interconnected equipment. Selecting equ...
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| Vydané v: | Mining technology (2018) Ročník 134; číslo 2; s. 143 - 158 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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London, England
SAGE Publications
01.06.2025
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| ISSN: | 2572-6668, 2572-6676 |
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| Abstract | Planning an equipment fleet is a complex engineering challenge involving (1) the capacity selection of equipment pieces forming a fleet, (2) the determination of fleet size, (3) strategic timing of equipment acquisitions, and (4) ensuring compatibility between interconnected equipment. Selecting equipment type involves evaluating capacity to meet production requirements effectively while considering operational constraints. It also requires determining the optimal number of units to avoid underutilisation or redundancy. In multi-period projects, the timing of equipment acquisition further adds complexity, as decisions must align with production rates that evolve over time. Moreover, matching equipment types is essential to ensure smooth and efficient workflows. This study develops a dynamic multi-period mixed-integer non-linear programming model to optimise equipment selection, considering capital recovery, operating costs, and equipment availability under match factor and production constraints. The model's effectiveness is demonstrated through a case study encompassing greenfield and brownfield scenarios in open-pit mining operations. The greenfield scenario emphasises phased equipment acquisition to align with production ramp-up and minimising initial costs. The brownfield scenario addresses the integration of aging and new equipment to sustain operational efficiency. The results highlight the model's flexibility and applicability, offering a robust tool for optimising equipment selection while balancing cost and performance. |
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| AbstractList | Planning an equipment fleet is a complex engineering challenge involving (1) the capacity selection of equipment pieces forming a fleet, (2) the determination of fleet size, (3) strategic timing of equipment acquisitions, and (4) ensuring compatibility between interconnected equipment. Selecting equipment type involves evaluating capacity to meet production requirements effectively while considering operational constraints. It also requires determining the optimal number of units to avoid underutilisation or redundancy. In multi-period projects, the timing of equipment acquisition further adds complexity, as decisions must align with production rates that evolve over time. Moreover, matching equipment types is essential to ensure smooth and efficient workflows. This study develops a dynamic multi-period mixed-integer non-linear programming model to optimise equipment selection, considering capital recovery, operating costs, and equipment availability under match factor and production constraints. The model's effectiveness is demonstrated through a case study encompassing greenfield and brownfield scenarios in open-pit mining operations. The greenfield scenario emphasises phased equipment acquisition to align with production ramp-up and minimising initial costs. The brownfield scenario addresses the integration of aging and new equipment to sustain operational efficiency. The results highlight the model's flexibility and applicability, offering a robust tool for optimising equipment selection while balancing cost and performance. |
| Author | Senses, Sena Kumral, Mustafa |
| Author_xml | – sequence: 1 givenname: Sena surname: Senses fullname: Senses, Sena organization: , Montreal, Canada – sequence: 2 givenname: Mustafa surname: Kumral fullname: Kumral, Mustafa email: mustafa.kumral@mcgill.ca organization: , Montreal, Canada |
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| Cites_doi | 10.1177/25726668231222998 10.1016/j.apenergy.2022.120313 10.1080/03155986.2018.1532765 10.1179/1743286314Y.0000000055 10.1016/j.cie.2022.108519 10.1201/b11787-17 10.1080/17480930801943334 10.3846/13923730.2013.802714 10.1007/b97414 10.1061/(ASCE)CO.1943-7862.0002211 10.3390/su16020863 10.1051/e3sconf/20187100003 10.1109/ACCESS.2024.3395288 10.1016/j.eswa.2012.05.046 10.1016/j.ejor.2017.02.039 10.1016/j.ejor.2019.01.008 10.1007/978-3-319-02678-7_84 10.1016/j.aej.2022.01.010 10.1007/s11276-019-02050-2 10.1515/amsc-2016-0017 10.3390/axioms12050467 10.1080/17480930701388606 10.1108/JMTM-02-2016-0020 10.1080/17509653.2022.2116122 10.1080/17480930.2022.2067709 10.1007/s41660-021-00192-5 10.1371/journal.pone.0153222 10.17159/2411-9717/2015/v115n3a6 10.3390/en15165979 |
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| Issue | 2 |
| Keywords | fleet management operational efficiency material handling systems mixed-integer non-linear programming equipment selection |
| Language | English |
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| References | Burt, Caccetta 2008; 22 Patyk, Bodziony 2022; 15(16) Yavuz 2016; 44(4): 042040 Akulker, Aydin 2023; 330 Hazrathosseini, Moradi Afrapoli 2024; 133 Malli, Mizrak Ozfirat, Yetkin 2021; 28 Rakhmangulov, Burmistrov, Osintsev 2024; 16 Yazdani-Chamzini 2014; 20 Bodziony, Kasztelewicz, Sawicki 2016; 61 Nguyen, Md Dawal, Nukman 2016; 11 Duran, Praščević 2021; 64 Patyk, Bodziony 2018; 71 Čelebić, Bajić, Bajić 2024; 16 Chakraborty, Prasad 2016; 27 Tan, Undram, Miwa 2012 Zhao, Zhang, Wang 2024; 12 Burt, Caccetta, Hill 2005 Krause, Musingwini 2007; 107 Oukil 2024; 19 Ulutaş, Topal, Karabasevic 2023; 12(5): 467 Chaowasakoo, Seppälä, Koivo 2017; 261 Yang, Liu, Dong 2022; 172 Moradi-Afrapoli, Tabesh, Askari-Nasab 2019 Ulutaş 2020; 10 Fu, Topal, Erten 2014; 123 Horňáková, Jurík, Hrablik Chovanová 2021; 27 Goswami, Behera 2021; 5 Mohtasham, Mirzaei-Nasirabad, Askari-Nasab 2021; 130 Shehadeh, Alshboul, Tatari 2022; 61(10) Dindarloo, Osanloo, Frimpong 2015; 115 Huayanca, Bujaico, Delgado 2023; 13 Tiile, Kaba, Aouad 2016; 5 Burt, Caccetta 2007; 21 Mohtasham, Mirzaei-Nasirabad, Askari-Nasab 2022; 36 Mustaffa 2022; 148 Zaerpour, Volbeda, Gharehgozli 2019; 57 Baykasoǧlu, Kaplanoglu, Durmuşoglu 2013; 40 e_1_3_2_27_1 e_1_3_2_28_1 e_1_3_2_29_1 Yavuz M (e_1_3_2_41_1) 2016; 44 e_1_3_2_42_1 Mohtasham M (e_1_3_2_23_1) 2021; 130 e_1_3_2_44_1 e_1_3_2_43_1 Huayanca D (e_1_3_2_19_1) 2023; 13 e_1_3_2_24_1 e_1_3_2_25_1 e_1_3_2_26_1 Tiile R (e_1_3_2_36_1) 2016; 5 Duran A (e_1_3_2_13_1) 2021; 64 e_1_3_2_40_1 Malli T (e_1_3_2_22_1) 2021; 28 Ulutaş A (e_1_3_2_39_1) 2023; 12 e_1_3_2_16_1 e_1_3_2_9_1 Tan Y (e_1_3_2_35_1) 2012 e_1_3_2_18_1 Krause A (e_1_3_2_20_1) 2007; 107 e_1_3_2_2_1 e_1_3_2_30_1 e_1_3_2_10_1 e_1_3_2_33_1 e_1_3_2_11_1 e_1_3_2_32_1 e_1_3_2_6_1 e_1_3_2_12_1 e_1_3_2_5_1 e_1_3_2_34_1 e_1_3_2_4_1 e_1_3_2_14_1 e_1_3_2_37_1 Ulutaş A (e_1_3_2_38_1) 2020; 10 e_1_3_2_3_1 e_1_3_2_15_1 Leland Blank PE (e_1_3_2_21_1) 2012 Patyk M (e_1_3_2_31_1) 2022; 15 Burt CN (e_1_3_2_7_1) 2005 Čelebić M (e_1_3_2_8_1) 2024; 16 Hillier FS (e_1_3_2_17_1) 2010 |
| References_xml | – volume: 19 start-page: 1 issue: 1 year: 2024 end-page: 14 article-title: Selecting material handling equipment through a market weight scheme based DEA cross-efficiency approach publication-title: International Journal of Management Science and Engineering Management – volume: 20 start-page: 660 issue: 5 year: 2014 end-page: 673 article-title: An integrated fuzzy multi criteria group decision making model for handling equipment selection publication-title: Journal of Civil Engineering and Management – volume: 16 issue: 8 year: 2024 article-title: Development of an Integrated Model for Open-Pit-Mine Discontinuous Haulage System Optimization publication-title: Sustainability (Switzerland) – start-page: 1730 year: 2005 end-page: 1736 article-title: Models for mining equipment selection publication-title: MODSIM05: International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings – volume: 15(16) year: 2022 article-title: Application of the analytical hierarchy process to select the most appropriate mining equipment for the exploitation of secondary deposits publication-title: Energies – volume: 22 start-page: 84 issue: 1 year: 2008 end-page: 85 article-title: Erratum: Match factor for heterogeneous truck and loader fleets (international journal of mining, reclamation and environment (2007) vol. 21 (4) (262-270)) publication-title: International Journal of Mining, Reclamation and Environment – year: 2019 article-title: A multiple objective transportation problem approach to dynamic truck dispatching in surface mines publication-title: European Journal of Operational Research – volume: 148 start-page: 04021177 issue: 1 year: 2022 article-title: Alternative configurations of earthmoving loading practices toward emissions reduction publication-title: Journal of Construction Engineering and Management – volume: 5 start-page: 495 issue: 11 year: 2016 end-page: 500 article-title: Shovel-Truck haulage analysis using stochastic discrete event simulation publication-title: International Journal of Science and Research (IJSR) – volume: 13 issue: 7 year: 2023 article-title: Application of Discrete-Event Simulation for Truck Fleet Estimation at an Open-Pit Copper Mine in Peru publication-title: Applied Sciences (Switzerland) – volume: 61(10) start-page: 7555 year: 2022 end-page: 7569 article-title: Selection of heavy machinery for earthwork activities: A multi-objective optimization approach using a genetic algorithm publication-title: Alexandria Engineering Journal – volume: 16 start-page: 63 issue: 2 year: 2024 article-title: Multi-criteria system’s design methodology for selecting open pits dump trucks publication-title: Sustainability – volume: 44(4): 042040 year: 2016 article-title: Equipment selection by using fuzzy TOPSIS method publication-title: IOP Conference Series: Earth and Environmental Science – volume: 133 start-page: 50 issue: 1 year: 2024 end-page: 73 article-title: Transition to intelligent fleet management systems in open pit mines: A critical review on application of reinforcement-learning-based systems publication-title: Mining Technology: Transactions of the Institutions of Mining and Metallurgy – volume: 12(5): 467 year: 2023 article-title: Selection of a forklift for a cargo company with fuzzy BWM and fuzzy MCRAT methods publication-title: Axioms – volume: 64 start-page: 195 year: 2021 end-page: 199 article-title: Allocation and selection of equipment for concrete works using fuzzy linear programming publication-title: Building Materials and Structures – volume: 40 start-page: 899 issue: 3 year: 2013 end-page: 907 article-title: Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection publication-title: Expert Systems with Applications – volume: 130 start-page: 159 issue: 3 year: 2021 end-page: 175 article-title: Truck fleet size selection in open-pit mines based on the match factor using a MINLP model publication-title: Mining Technology: Transactions of the Institute of Mining and Metallurgy – volume: 11 start-page: 1 issue: 4 year: 2016 end-page: 26 article-title: An integrated MCDM model for conveyor equipment evaluation and selection in an FMC based on a fuzzy AHP and fuzzy ARAS in the presence of vagueness publication-title: PLoS ONE – volume: 27 start-page: 1683 issue: 3 year: 2021 end-page: 1691 article-title: AHP Method application in selection of appropriate material handling equipment in selected industrial enterprise publication-title: Wireless Networks – volume: 10 start-page: 493 issue: 2 year: 2020 end-page: 504 article-title: Stacker selection with PSI and WEDBA methods publication-title: International Journal of Contemporary Economics and Administrative Sciences – start-page: 1 year: 2012 end-page: 12 article-title: Operations modeling and analysis of open pit publication-title: Proceedings of the 2012 Winter Simulation Conference – volume: 261 start-page: 1052 issue: 3 year: 2017 end-page: 1065 article-title: Improving fleet management in mines: The benefit of heterogeneous match factor publication-title: European Journal of Operational Research – volume: 172 start-page: 108519 year: 2022 article-title: Multiple-objective optimization of a reconfigurable assembly system via equipment selection and sequence planning publication-title: Computers & Industrial Engineering – volume: 28 start-page: 58 issue: 1 year: 2021 end-page: 64 article-title: Truck selection with the fuzzy-wsm method in transportation systems of open pit mines publication-title: Tehnicki Vjesnik – volume: 21 start-page: 262 issue: 4 year: 2007 end-page: 270 article-title: Match factor for heterogeneous truck and loader fleets publication-title: International Journal of Mining, Reclamation and Environment – volume: 330 start-page: 120313 year: 2023 article-title: Optimal design and operation of a multi-energy microgrid using mixed-integer nonlinear programming: Impact of carbon cap and trade system and taxing on equipment selections publication-title: Applied Energy – volume: 36 start-page: 461 issue: 7 year: 2022 end-page: 491 article-title: Multi-stage optimization framework for the real-time truck decision problem in open-pit mines: A case study on sungun copper mine publication-title: International Journal of Mining, Reclamation and Environment – volume: 71 year: 2018 article-title: Analysis of multiple criteria selection and application of APEKS method in haul truck mining transport process publication-title: E3S Web of Conferences – volume: 27 start-page: 800 issue: 6 year: 2016 end-page: 817 article-title: A QFD-based expert system for industrial truck selection in manufacturing organizations publication-title: Journal of Manufacturing Technology Management – volume: 5 start-page: 947 issue: 4 year: 2021 end-page: 973 article-title: Solving material handling equipment selection problems in an industry with the help of entropy integrated COPRAS and ARAS MCDM techniques publication-title: Process Integration and Optimization for Sustainability – volume: 107 start-page: 469 issue: 8 year: 2007 end-page: 476 article-title: Modelling open pit shovel-truck systems using the machine repair model publication-title: Journal of the Southern African Institute of Mining and Metallurgy – volume: 61 start-page: 223 issue: 2 year: 2016 end-page: 243 article-title: The problem of multiple criteria selection of the surface mining haul trucks publication-title: Archives of Mining Sciences – volume: 57 start-page: 99 issue: 1 year: 2019 end-page: 120 article-title: Automated or manual storage systems: Do throughput and storage capacity matter? publication-title: Information Systems and Operational Research – volume: 123 start-page: 30 issue: 1 year: 2014 end-page: 35 article-title: Optimisation of a mixed truck fleet schedule through a mathematical model considering a new truck-purchase option publication-title: Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology – volume: 12 start-page: 63515 year: 2024 end-page: 63527 article-title: Multi-t ype equipment selection and quantity decision optimization in intelligent warehouse publication-title: IEEE Access – volume: 115 start-page: 209 issue: 3 year: 2015 end-page: 219 article-title: A stochastic simulation framework for truck and shovel selection and sizing in open pit mines publication-title: Journal of the Southern African Institute of Mining and Metallurgy – volume: 5 start-page: 495 issue: 11 year: 2016 ident: e_1_3_2_36_1 article-title: Shovel-Truck haulage analysis using stochastic discrete event simulation publication-title: International Journal of Science and Research (IJSR) – ident: e_1_3_2_16_1 doi: 10.1177/25726668231222998 – ident: e_1_3_2_2_1 doi: 10.1016/j.apenergy.2022.120313 – start-page: 1730 year: 2005 ident: e_1_3_2_7_1 article-title: Models for mining equipment selection publication-title: MODSIM05: International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings – ident: e_1_3_2_43_1 doi: 10.1080/03155986.2018.1532765 – ident: e_1_3_2_14_1 doi: 10.1179/1743286314Y.0000000055 – volume-title: Engineering Economy year: 2012 ident: e_1_3_2_21_1 – ident: e_1_3_2_40_1 doi: 10.1016/j.cie.2022.108519 – volume-title: Introduction to Operations Research year: 2010 ident: e_1_3_2_17_1 – ident: e_1_3_2_37_1 doi: 10.1201/b11787-17 – ident: e_1_3_2_6_1 doi: 10.1080/17480930801943334 – volume: 107 start-page: 469 issue: 8 year: 2007 ident: e_1_3_2_20_1 article-title: Modelling open pit shovel-truck systems using the machine repair model publication-title: Journal of the Southern African Institute of Mining and Metallurgy – volume: 16 issue: 8 year: 2024 ident: e_1_3_2_8_1 article-title: Development of an Integrated Model for Open-Pit-Mine Discontinuous Haulage System Optimization publication-title: Sustainability (Switzerland) – ident: e_1_3_2_42_1 doi: 10.3846/13923730.2013.802714 – ident: e_1_3_2_32_1 doi: 10.1007/b97414 – ident: e_1_3_2_26_1 doi: 10.1061/(ASCE)CO.1943-7862.0002211 – ident: e_1_3_2_33_1 doi: 10.3390/su16020863 – volume: 10 start-page: 493 issue: 2 year: 2020 ident: e_1_3_2_38_1 article-title: Stacker selection with PSI and WEDBA methods publication-title: International Journal of Contemporary Economics and Administrative Sciences – volume: 44 year: 2016 ident: e_1_3_2_41_1 article-title: Equipment selection by using fuzzy TOPSIS method publication-title: IOP Conference Series: Earth and Environmental Science – start-page: 1 year: 2012 ident: e_1_3_2_35_1 article-title: Operations modeling and analysis of open pit publication-title: Proceedings of the 2012 Winter Simulation Conference – ident: e_1_3_2_30_1 doi: 10.1051/e3sconf/20187100003 – ident: e_1_3_2_44_1 doi: 10.1109/ACCESS.2024.3395288 – ident: e_1_3_2_3_1 doi: 10.1016/j.eswa.2012.05.046 – ident: e_1_3_2_10_1 doi: 10.1016/j.ejor.2017.02.039 – volume: 64 start-page: 195 year: 2021 ident: e_1_3_2_13_1 article-title: Allocation and selection of equipment for concrete works using fuzzy linear programming publication-title: Building Materials and Structures – volume: 130 start-page: 159 issue: 3 year: 2021 ident: e_1_3_2_23_1 article-title: Truck fleet size selection in open-pit mines based on the match factor using a MINLP model publication-title: Mining Technology: Transactions of the Institute of Mining and Metallurgy – ident: e_1_3_2_25_1 doi: 10.1016/j.ejor.2019.01.008 – ident: e_1_3_2_28_1 doi: 10.1007/978-3-319-02678-7_84 – ident: e_1_3_2_34_1 doi: 10.1016/j.aej.2022.01.010 – ident: e_1_3_2_18_1 doi: 10.1007/s11276-019-02050-2 – ident: e_1_3_2_4_1 doi: 10.1515/amsc-2016-0017 – volume: 12 year: 2023 ident: e_1_3_2_39_1 article-title: Selection of a forklift for a cargo company with fuzzy BWM and fuzzy MCRAT methods publication-title: Axioms doi: 10.3390/axioms12050467 – ident: e_1_3_2_5_1 doi: 10.1080/17480930701388606 – ident: e_1_3_2_9_1 doi: 10.1108/JMTM-02-2016-0020 – ident: e_1_3_2_29_1 doi: 10.1080/17509653.2022.2116122 – volume: 28 start-page: 58 issue: 1 year: 2021 ident: e_1_3_2_22_1 article-title: Truck selection with the fuzzy-wsm method in transportation systems of open pit mines publication-title: Tehnicki Vjesnik – ident: e_1_3_2_24_1 doi: 10.1080/17480930.2022.2067709 – ident: e_1_3_2_15_1 doi: 10.1007/s41660-021-00192-5 – ident: e_1_3_2_27_1 doi: 10.1371/journal.pone.0153222 – ident: e_1_3_2_11_1 – ident: e_1_3_2_12_1 doi: 10.17159/2411-9717/2015/v115n3a6 – volume: 15 year: 2022 ident: e_1_3_2_31_1 article-title: Application of the analytical hierarchy process to select the most appropriate mining equipment for the exploitation of secondary deposits publication-title: Energies doi: 10.3390/en15165979 – volume: 13 issue: 7 year: 2023 ident: e_1_3_2_19_1 article-title: Application of Discrete-Event Simulation for Truck Fleet Estimation at an Open-Pit Copper Mine in Peru publication-title: Applied Sciences (Switzerland) |
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